Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add pamelafox/presentation-skills --skill extract-slide-textgit clone --depth 1 https://github.com/pamelafox/presentation-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/pamelafox/presentation-skills/extract-slide-text)<a href="https://agentmods.dev/skills/pamelafox/presentation-skills/extract-slide-text"><img src="https://agentmods.dev/badge/skills/pamelafox/presentation-skills/extract-slide-text/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/pamelafox/presentation-skills/extract-slide-text"><img src="https://agentmods.dev/badge/skills/pamelafox/presentation-skills/extract-slide-text.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00063 | $0.00426 |
| Opus 5 | $0.00032 | $0.00213 |
| Sonnet 5 | $0.00013 | $0.00085 |
| Haiku 4.5 | $0.00006 | $0.00043 |
Grade A, and why
extract-slide-text scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Extract slide text from PDF
Run the extract_slide_text.py script to extract the text content of each PDF page into a structured markdown file:
uv run .agents/skills/extract-slide-text/extract_slide_text.py <pdf_path> <output_path> [images_dir]
Arguments
pdf_path(required): Path to the PDF file.output_path(required): Path to write the output markdown fileimages_dir(optional): Path to the slide images directory. Used to generate correct relative image references. Defaults toslide_images/.
Output format
A markdown file with one section per slide:
## Slide 1
\```
Extracted text content from slide 1
\```
## Slide 2
\```
Extracted text content from slide 2
\```
Pages with no extractable text (e.g., full-bleed images) show (no extractable text).
Why this matters
PDF text extraction is deterministic — it produces ground-truth slide content without relying on vision models. This prevents misidentification of embedded screenshots or demo captures as actual slide content, a common failure mode when using only image-based slide analysis.
Prerequisites
Poppler utilities must be installed (provides the pdftotext command):
- macOS:
brew install poppler - Ubuntu:
apt-get install poppler-utils
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 10d ago First seen · 58 lines · 63 tokens per session scan A c45ed8346ad1
extract-slide-text is a skill published in the GitHub repository pamelafox/presentation-skills (117 stars, last pushed 6d ago), licensed MIT. It adds 63 tokens to every session and 426 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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